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Explain how to decipher live and historic pagination tokens (#12317)
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MadLittleMods authored Apr 5, 2022
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1 change: 1 addition & 0 deletions changelog.d/12317.misc
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Update docstrings to explain how to decipher live and historic pagination tokens.
96 changes: 85 additions & 11 deletions synapse/types.py
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Expand Up @@ -422,22 +422,44 @@ class RoomStreamToken:
s0 s1
| |
[0] V [1] V [2]
[0] [1] [2]
Tokens can either be a point in the live event stream or a cursor going
through historic events.
When traversing the live event stream events are ordered by when they
arrived at the homeserver.
When traversing the live event stream, events are ordered by
`stream_ordering` (when they arrived at the homeserver).
When traversing historic events the events are ordered by their depth in
the event graph "topological_ordering" and then by when they arrived at the
homeserver "stream_ordering".
When traversing historic events, events are first ordered by their `depth`
(`topological_ordering` in the event graph) and tie-broken by
`stream_ordering` (when the event arrived at the homeserver).
Live tokens start with an "s" followed by the "stream_ordering" id of the
event it comes after. Historic tokens start with a "t" followed by the
"topological_ordering" id of the event it comes after, followed by "-",
followed by the "stream_ordering" id of the event it comes after.
If you're looking for more info about what a token with all of the
underscores means, ex.
`s2633508_17_338_6732159_1082514_541479_274711_265584_1`, see the docstring
for `StreamToken` below.
---
Live tokens start with an "s" followed by the `stream_ordering` of the event
that comes before the position of the token. Said another way:
`stream_ordering` uniquely identifies a persisted event. The live token
means "the position just after the event identified by `stream_ordering`".
An example token is:
s2633508
---
Historic tokens start with a "t" followed by the `depth`
(`topological_ordering` in the event graph) of the event that comes before
the position of the token, followed by "-", followed by the
`stream_ordering` of the event that comes before the position of the token.
An example token is:
t426-2633508
---
There is also a third mode for live tokens where the token starts with "m",
which is sometimes used when using sharded event persisters. In this case
Expand All @@ -464,6 +486,8 @@ class RoomStreamToken:
Note: The `RoomStreamToken` cannot have both a topological part and an
instance map.
---
For caching purposes, `RoomStreamToken`s and by extension, all their
attributes, must be hashable.
"""
Expand Down Expand Up @@ -600,7 +624,57 @@ async def to_string(self, store: "DataStore") -> str:

@attr.s(slots=True, frozen=True, auto_attribs=True)
class StreamToken:
"""A collection of positions within multiple streams.
"""A collection of keys joined together by underscores in the following
order and which represent the position in their respective streams.
ex. `s2633508_17_338_6732159_1082514_541479_274711_265584_1`
1. `room_key`: `s2633508` which is a `RoomStreamToken`
- `RoomStreamToken`'s can also look like `t426-2633508` or `m56~2.58~3.59`
- See the docstring for `RoomStreamToken` for more details.
2. `presence_key`: `17`
3. `typing_key`: `338`
4. `receipt_key`: `6732159`
5. `account_data_key`: `1082514`
6. `push_rules_key`: `541479`
7. `to_device_key`: `274711`
8. `device_list_key`: `265584`
9. `groups_key`: `1`
You can see how many of these keys correspond to the various
fields in a "/sync" response:
```json
{
"next_batch": "s12_4_0_1_1_1_1_4_1",
"presence": {
"events": []
},
"device_lists": {
"changed": []
},
"rooms": {
"join": {
"!QrZlfIDQLNLdZHqTnt:hs1": {
"timeline": {
"events": [],
"prev_batch": "s10_4_0_1_1_1_1_4_1",
"limited": false
},
"state": {
"events": []
},
"account_data": {
"events": []
},
"ephemeral": {
"events": []
}
}
}
}
}
```
---
For caching purposes, `StreamToken`s and by extension, all their attributes,
must be hashable.
Expand Down

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